Back

Biomedical researchers perspectives on the reproducibility of research: a cross-sectional international survey

Cobey, K. D.; Ebrahimzadeh, S.; Page, M.; Thibault, R.; Nguyen, P.-Y.; Abu-Dalfa, F.; Moher, D.

2023-09-21 scientific communication and education Community evaluation
10.1101/2023.09.18.558287 bioRxiv
Show abstract

We conducted an international cross-sectional survey of biomedical researchers perspectives on the reproducibility of research. This study builds on a widely cited 2016 survey on reproducibility, and provides a biomedical-specific and contemporary perspective on reproducibility. To sample the community, we randomly selected 400 journals indexed in MEDLINE, from which we extracted the author names and e-mails from all articles published between October 1, 2020 and October 1, 2021. We invited participants to complete an anonymous online survey which collected basic demographic information, perceptions about a reproducibility crisis, perceived causes of irreproducibility of research results, experience conducting replication studies, and knowledge of funding and training for research on reproducibility. A total of 1924 participants accessed our survey, of which 1630 provided useable responses (response rate 7% of 23,234). Key findings include that 72% of participants agreed there was a reproducibility crisis in biomedicine, with 27% of participants indicating the crisis was significant. The leading perceived cause of irreproducibility was a pressure to publish with 62% of participants indicating it always or very often contributes. About half of the participants (54%) had run a replication of their own previously published study while slightly more (57%) had run a replication of another researchers study. Just 16% of participants indicated their institution had established procedures to enhance the reproducibility of biomedical research; and 67% felt their institution valued new research over replication studies. Participants also reported few opportunities to obtain funding to attempt to reproduce a study and 83% perceived it would be harder to do so than to get funding to do a novel study. Our results may be used to guide training and interventions to improve research reproducibility and to monitor rates of reproducibility over time. The findings are also relevant to policy makers and academic leadership looking to create incentives and research cultures that support reproducibility and value research quality.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
PLOS Biology
408 papers in training set
Top 0.1%
33.7%
2
PLOS ONE
4510 papers in training set
Top 13%
14.6%
3
F1000Research
79 papers in training set
Top 0.1%
8.4%
50% of probability mass above
4
eLife
5422 papers in training set
Top 13%
6.4%
5
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 0.7%
5.0%
6
FEBS Letters
42 papers in training set
Top 0.1%
2.4%
7
Nature Human Behaviour
85 papers in training set
Top 1%
2.4%
8
Journal of the American Medical Informatics Association
61 papers in training set
Top 1%
1.9%
9
PeerJ
261 papers in training set
Top 7%
1.7%
10
eneuro
389 papers in training set
Top 5%
1.7%
11
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 4%
1.2%
12
The FEBS Journal
78 papers in training set
Top 0.4%
1.2%
13
Journal of Cellular Physiology
21 papers in training set
Top 0.5%
0.9%
14
Stem Cell Research
16 papers in training set
Top 0.1%
0.9%
15
Journal of General Internal Medicine
20 papers in training set
Top 0.9%
0.8%
16
Wellcome Open Research
57 papers in training set
Top 2%
0.8%
17
FASEB BioAdvances
15 papers in training set
Top 0.2%
0.8%
18
BMJ Open
554 papers in training set
Top 12%
0.8%
19
Medicine
30 papers in training set
Top 2%
0.8%
20
The Lancet Digital Health
25 papers in training set
Top 1%
0.7%
21
PLOS Digital Health
91 papers in training set
Top 3%
0.7%
22
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 45%
0.7%
23
JAMA
17 papers in training set
Top 0.4%
0.7%
24
FACETS
11 papers in training set
Top 0.3%
0.7%
25
BMC Medicine
163 papers in training set
Top 7%
0.7%
26
FEBS Open Bio
29 papers in training set
Top 0.7%
0.7%
27
Heliyon
146 papers in training set
Top 9%
0.5%